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20152022
most citedHow2: A Large-scale Dataset for Multimodal Language Understanding

187 citations · 698 across the 55 of their papers we have counts for

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Showing 2018 · cs.CLShow all

7 papers · 2 filters

cs.CL2018★ 187 cited

How2: A Large-scale Dataset for Multimodal Language Understanding

Ramon Sanabria, Ozan Caglayan, Shruti Palaskar +4

In this paper, we introduce How2, a multimodal collection of instructional videos with English subtitles and crowdsourced Portuguese translations. We also present integrated sequen…

cs.CL2018

Multimodal Grounding for Sequence-to-Sequence Speech Recognition

Ozan Caglayan, Ramon Sanabria, Shruti Palaskar +2

Humans are capable of processing speech by making use of multiple sensory modalities. For example, the environment where a conversation takes place generally provides semantic and/…

cs.CL2018★ 2 cited

Dialog-context aware end-to-end speech recognition

Suyoun Kim, Florian Metze

Existing speech recognition systems are typically built at the sentence level, although it is known that dialog context, e.g. higher-level knowledge that spans across sentences or…

cs.CL2018

Domain Robust Feature Extraction for Rapid Low Resource ASR Development

Siddharth Dalmia, Xinjian Li, Florian Metze +1

Developing a practical speech recognizer for a low resource language is challenging, not only because of the (potentially unknown) properties of the language, but also because test…

cs.CL2018

Hierarchical Multi Task Learning With CTC

Ramon Sanabria, Florian Metze

In Automatic Speech Recognition it is still challenging to learn useful intermediate representations when using high-level (or abstract) target units such as words. For that reason…

cs.CL2018

Sequence-based Multi-lingual Low Resource Speech Recognition

Siddharth Dalmia, Ramon Sanabria, Florian Metze +1

Techniques for multi-lingual and cross-lingual speech recognition can help in low resource scenarios, to bootstrap systems and enable analysis of new languages and domains. End-to-…

cs.CL2018★ 1 cited

Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

Odette Scharenborg, Laurent Besacier, Alan Black +16

We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and word…